Transforming Deep Learning Models for Resource-Efficient Activity Recognition on Mobile Devices
Author:
Affiliation:
1. Galatasaray University,Department of Computer Engineering,Istanbul,Turkey
2. Bogazici University,Department of Computer Engineering,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9766426/9766387/09766512.pdf?arnumber=9766512
Reference17 articles.
1. Multimodal Deep Learning for Activity and Context Recognition
2. Real-Time Physical Activity Recognition on Smart Mobile Devices Using Convolutional Neural Networks
3. A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
4. Estimation of energy consumption in machine learning
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